This repository contains the data for the paper:

Evgeny Kim and Roman Klinger: 
"An analysis of emotion communication channels in fan-fiction: 
Towards emotional storytelling." 
The Second Workshop of Storytelling, Association of Computational Linguistics, 2019. 

The JSON file "emotion_expression_fanfic.jsonl" is the main file and consists of the following fields:
- story: numerical id.
- url: link to archiveofourown.org where the story is published.
- emotion: emotion label.
- experiencer_start: start offset for the experiencer of the emotion.
- experiencer_end: end offset for the experiencer of the emotion.
- target_start: start offset for the communication partner.
- target_end: end offset for the communication partner.
- facial_expression_span: offset for facial expression.
- body_movements_span: offset for body movements.
- physical_appearance_span: offset for physical appearance.
- spatial_relations_span: offset for spatial relations.
- voice_span: offset for voice.
- looking_behavior_span: offset for looking behavior.
- arms_hands_span: offset for arms and hands gestures. 
- physical_sensations_span: offset for physical sensations.
- text: actual text. The character experiencing an emotion is marked in text with "EXP", the character at which an emotion is directed (communication partner) is marked with "TARG".

Note: the JSON file is in line-by-line format (each line is a separate JSON object).

* Please cite the corpus as:
@inproceedings{Kim2019a,
  author = {Evgeny Kim and Roman Klinger},
  title = {An Analysis of Emotion Communication Channels in Fan-Fiction: Towards Emotional Storytelling},
  booktitle = {Proceedings of the Second Workshop of Storytelling},
  year = {2019},
  organization = {Association for Computational Linguistics},
  address={Florence,Italy},
  month={August},
}

* Copyright on the original texts belongs to www.archiveofourown.org and the authors of the short stories. 

* The annotation is licensed under Creative Commons 4.0 license (https://creativecommons.org/licenses/by/4.0/). See file license.txt for more information.

* If you have questions about the corpus, send an email to evgeny.kim@ims.uni-stuttgart.de or roman.klinger@ims.uni-stuttgart.de. 